Delta 1 Quantitative Analyst

2 days ago

London, Greater London, United Kingdom Barclays Bank UK PLC Full time
Global Markets Delta 1 Quantitative Analyst
London


As a Barclays Global Markets Delta 1 Quantitative Analyst, you will have an exciting chance to be part of the Team supporting the rapidly growing Prime Services business.

Quantitative Analysis Prime collaborates with the business in developing analytics tools and models to support managing market and counterparty risk as well as inventory and financial resources.

The team will also partner with the business to smooth the trading workflow, explore and quantify revenue generation opportunities.


Barclays is one of the world's largest and most respected financial institutions, established in 1690, with a legacy of success, quality, and innovation.

We offer careers that provide endless opportunity - helping millions of individuals and businesses thrive and creating financial and digital solutions that the world now takes for granted.


At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home.

We have a structured approach where colleagues work at an onsite location on fixed, 'anchor', days of the week, for a minimum of two days a week or more, as set by the business area (or nearest equivalent if working part-time hours).

Please discuss the working pattern requirements for the role you are applying for with the hiring manager.

Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.

What will you be doing?

  • Being responsible for driving and delivering on the project pipeline for Delta 1 and designing and implementing new models and analytics in Prime
  • Providing transparency into models via UIs and thorough documentation as well as enhancing and developing existing models within the Bank's pricing framework
  • Being responsible for delivering automated trade recommendations that require minimal ongoing support
  • Collaborating with Front Office and Technology to deploy the Bank's analytics to production
  • Providing tactical analysis on risk, PnL, and revenue opportunities as well as providing daily support for front office trading activity
  • Engaging with senior stakeholders locally to drive business outcomes, and collaborating across regions to ensure consistency and usage of delivered product
  • Being responsible for keeping a critical eye on the established processes/systems in order to drive change in a positive, productive and efficient manner

What we're looking for:

  • Masters in financial mathematics, PhD in a quantitative field (Mathematics/Physics/Computer Science/Engineering) or equivalent skillset
  • Working knowledge of linear equity derivatives (index futures, total return swaps on indices/custom baskets/single stocks), equity ETFs, as well as FX and IR hedges
  • Extensive working knowledge and understanding of Python and familiarity with C++ or other object-oriented programming languages
  • Critical thinking, excellent attention to detail and independent problem solving skills

Skills that will help you in the role:

  • Delta 1 pricing/hedging/market making/optimization experience is a differentiator
  • Exceptional analytical and numerical skills and familiarity and practical experience with statistics and data analysis
  • Experience with cross-platform /cross-technology development (Windows/Linux) and workflow automation
  • Experience with data visualization tools and libraries (e.g. Jupyter, Dash)
Where will you be working?

In the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as; a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links.

With a population of around 5000 staff the atmosphere is second to none with a real buzz being created around the offices within.

#LI-Hybrid

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